AIGP Artificial Intelligence Governance Professional Exam Online Dumps

1. Machine learning is best described as a type of algorithm by which?

2. You asked a generative Al tool to recommend new restaurants to explore in Boston, Massachusetts that have a specialty Italian dish made in a traditional fashion without spinach and wine. The generative Al tool recommended five restaurants for you to visit.

After looking up the restaurants, you discovered one restaurant did not exist and two others did not have the dish.

This information provided by the generative Al tool is an example of what is commonly called?

3. Each of the following actors are typically engaged in the Al development life cycle EXCEPT?

4. A company is working to develop a self-driving car that can independently decide the appropriate route to take the driver after the driver provides an address.

If they want to make this self-driving car “strong” Al, as opposed to "weak,” the engineers would also need to ensure?

5. Which of the following is NOT a common type of machine learning?

6. CASE STUDY

Please use the following answer the next question:

ABC Corp, is a leading insurance provider offering a range of coverage options to individuals. ABC has decided to utilize artificial intelligence to streamline and improve its customer acquisition and underwriting process, including the accuracy and efficiency of pricing policies.

ABC has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large language model (“LLM”). In particular, ABC intends to use its historical customer data―including applications, policies, and claims―and proprietary pricing and risk strategies to provide an initial qualification assessment of potential customers, which would then be routed t

A. human underwriter for final review.

ABC and the cloud provider have completed training and testing the LLM, performed a readiness assessment, and made the decision to deploy the LLM into production. ABC has designated an internal compliance team to monitor the model during the first month, specifically to evaluate the accuracy, fairness, and reliability of its output. After the first month in production, ABC realizes that the LLM declines a higher percentage of women's loan applications due primarily to women historically receiving lower salaries than men.

The best approach to enable a customer who wants information on the Al model's parameters for underwriting purposes is to provide?

A. A transparency notice.

B. An opt-out mechanism.

C. Detailed terms of service.

D. Customer service support.

7. CASE STUDY

Please use the following answer the next question:

ABC Corp, is a leading insurance provider offering a range of coverage options to individuals. ABC has decided to utilize artificial intelligence to streamline and improve its customer acquisition and underwriting process, including the accuracy and efficiency of pricing policies.

ABC has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large language model (“LLM”). In particular, ABC intends to use its historical customer data―including applications, policies, and claims―and proprietary pricing and risk strategies to provide an initial qualification assessment of potential customers, which would then be routed a human underwriter for final review.

ABC and the cloud provider have completed training and testing the LLM, performed a readiness assessment, and made the decision to deploy the LLM into production. ABC has designated an internal compliance team to monitor the model during the first month, specifically to evaluate the accuracy, fairness, and reliability of its output. After the first month in production, ABC realizes that the LLM declines a higher percentage of women's loan applications due primarily to women historically receiving lower salaries than men.

Which of the following is the most important reason to train the underwriters on the model prior to deployment?

8. CASE STUDY

Please use the following answer the next question:

ABC Corp, is a leading insurance provider offering a range of coverage options to individuals. ABC has decided to utilize artificial intelligence to streamline and improve its customer acquisition and underwriting process, including the accuracy and efficiency of pricing policies.

ABC has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large language model (“LLM”). In particular, ABC intends to use its historical customer data―including applications, policies, and claims―and proprietary pricing and risk strategies to provide an initial qualification assessment of potential customers, which would then be routed .. human underwriter for final review.

ABC and the cloud provider have completed training and testing the LLM, performed a readiness assessment, and made the decision to deploy the LLM into production. ABC has designated an internal compliance team to monitor the model during the first month, specifically to evaluate the accuracy, fairness, and reliability of its output. After the first month in production, ABC realizes that the LLM declines a higher percentage of women's loan applications due primarily to women historically receiving lower salaries than men.

During the first month when ABC monitors the model for bias, it is most important to?

9. CASE STUDY

Please use the following answer the next question:

ABC Corp, is a leading insurance provider offering a range of coverage options to individuals. ABC has decided to utilize artificial intelligence to streamline and improve its customer acquisition and underwriting process, including the accuracy and efficiency of pricing policies.

ABC has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large language model (“LLM”). In particular, ABC intends to use its historical customer data―including applications, policies, and claims―and proprietary pricing and risk strategies to provide an initial

qualification assessment of potential customers, which would then be routed t

A. human underwriter for final review.

ABC and the cloud provider have completed training and testing the LLM, performed a readiness assessment, and made the decision to deploy the LLM into production. ABC has designated an internal compliance team to monitor the model during the first month, specifically to evaluate the accuracy, fairness, and reliability of its output. After the first month in production, ABC realizes that the LLM declines a higher percentage of women's loan applications due primarily to women historically receiving lower salaries than men.

Each of the following steps would support fairness testing by the compliance team during the first month in production EXCEPT?

A. Validating a similar level of decision-making across different demographic groups.

B. Providing the loan applicants with information about the model capabilities and limitations.

C. Identifying if additional training data should be collected for specific demographic groups.

D. Using tools to help understand factors that may account for differences in decision-making.

10. CASE STUDY

Please use the following answer the next question:

ABC Corp, is a leading insurance provider offering a range of coverage options to individuals. ABC has decided to utilize artificial intelligence to streamline and improve its customer acquisition and underwriting process, including the accuracy and efficiency of pricing policies.

ABC has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large language model (“LLM”). In particular, ABC intends to use its historical customer data―including applications, policies, and claims―and proprietary pricing and risk strategies to provide an initial qualification assessment of potential customers, which would then be routed a human underwriter for final review.

ABC and the cloud provider have completed training and testing the LLM, performed a readiness assessment, and made the decision to deploy the LLM into production. ABC has designated an internal compliance team to monitor the model during the first month, specifically to evaluate the accuracy, fairness, and reliability of its output. After the first month in production, ABC realizes that the LLM declines a higher percentage of women's loan applications due primarily to women historically receiving lower salaries than men.

What is the best strategy to mitigate the bias uncovered in the loan applications?

11. Which of the following is a subcategory of Al and machine learning that uses labeled datasets to train algorithms?

12. A company developed Al technology that can analyze text, video, images and sound to tag content, including the names of animals, humans and objects.

What type of Al is this technology classified as?

13. All of the following are common optimization techniques in deep learning to determine weights that represent the strength of the connection between artificial neurons EXCEPT?

14. What is the key feature of Graphical Processing Units (GPUs) that makes them well-suited to running Al applications?

15. Which of the following best defines an "Al model"?

16. CASE STUDY

Please use the following answer the next question:

Good Values Corporation (GVC) is a U.S. educational services provider that employs teachers to create and deliver enrichment courses for high school students. GVC has learned that many of its teacher employees are using generative Al to create the enrichment courses, and that many of the students are using generative Al to complete their assignments.

In particular, GVC has learned that the teachers they employ used open source large language models (“LLM”) to develop an online tool that customizes study questions for individual students. GVC has also discovered that an art teacher has expressly incorporated the use of generative Al into the curriculum to enable students to use prompts to create digital art.

GVC has started to investigate these practices and develop a process to monitor any use of generative Al, including by teachers and students, going forward.

Which of the following risks should be of the highest concern to individual teachers using generative Al to ensure students learn the course material?

17. CASE STUDY

Please use the following answer the next question:

Good Values Corporation (GVC) is a U.S. educational services provider that employs teachers to create and deliver enrichment courses for high school students. GVC has learned that many of its teacher employees are using generative Al to create the enrichment courses, and that many of the students are using generative Al to complete their assignments.

In particular, GVC has learned that the teachers they employ used open source large language models (“LLM”) to develop an online tool that customizes study questions for individual students. GVC has also discovered that an art teacher has expressly incorporated the use of generative Al into the curriculum to enable students to use prompts to create digital art.

GVC has started to investigate these practices and develop a process to monitor any use of generative Al, including by teachers and students, going forward.

What is the best reason for GVC to offer students the choice to utilize generative Al in limited, defined circumstances?

18. CASE STUDY

Please use the following answer the next question:

Good Values Corporation (GVC) is a U.S. educational services provider that employs teachers to create and deliver enrichment courses for high school students. GVC has learned that many of its teacher employees are using generative Al to create the enrichment courses, and that many of the students are using generative Al to complete their assignments.

In particular, GVC has learned that the teachers they employ used open source large language models (“LLM”) to develop an online tool that customizes study questions for individual students. GVC has also discovered that an art teacher has expressly incorporated the use of generative Al into the curriculum to enable students to use prompts to create digital art.

GVC has started to investigate these practices and develop a process to monitor any use of generative Al, including by teachers and students, going forward.

All of the following may be copyright risks from teachers using generative Al to create course content EXCEPT?

19. Random forest algorithms are in what type of machine learning model?

20. What is the 1956 Dartmouth summer research project on Al best known as?

21. What is the primary purpose of an Al impact assessment?

22. What type of organizational risk is associated with Al's resource-intensive computing demands?

23. Which of the following most encourages accountability over Al systems?

24. An Al system that maintains its level of performance within defined acceptable limits despite real world or adversarial conditions would be described as?

25. If it is possible to provide a rationale for a specific output of an Al system, that system can best be described as?

26. The OECD's Ethical Al Governance Framework is a self-regulation model that proposes to prevent societal harms by?

27. The framework set forth in the White House Blueprint for an Al Bill of Rights addresses all of the following EXCEPT?

28. A U.S. mortgage company developed an Al platform that was trained using anonymized details from mortgage applications, including the applicant’s education, employment and demographic information, as well as from subsequent payment or default information. The Al platform will be used automatically grant or deny new mortgage applications, depending on whether the platform views an applicant as presenting a likely risk of default.

Which of the following laws is NOT relevant to this use case?

29. An EU bank intends to launch a multi-modal Al platform for customer engagement and automated decision-making assist with the opening of bank accounts. The platform has been subject to thorough risk assessments and testing, where it proves to be effective in not discriminating against any individual on the basis of a protected class.

What additional obligations must the bank fulfill prior to deployment?

30. According to the GDPR, what is an effective control to prevent a determination based solely on automated decision-making?

31. According to the GDPR, an individual has the right to have a human confirm or replace an automated decision unless that automated decision?

32. According to the GDPR's transparency principle, when an Al system processes personal data in automated decision-making, controllers are required to provide data subjects specific information on?